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cuda-matlab-opencv-caffe
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#cuda8.0安装
echo "Installing cuda 8.0"
sudo sh cuda_8.0.27_linux.run
sudo apt-get -y upgrade
sudo apt-get -y update
sudo apt-get -y install freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libgl1-mesa-glx libglu1-mesa libglu1-mesa-dev
export PATH=/opt/matlab/toolbox/vision/builtins/src/ocvcg/opencv/include/:$PATH
echo "export PATH=/usr/local/cuda-8.0/bin:$PATH" >> /etc/profile
echo "export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64:$LD_LIBRARY_PATH" >> /etc/profile
source /etc/profile
nvidia-smi
nvcc --version
cd /home/user/NVIDIA_CUDA-8.0_Samples
make -j16
cd /home/
tar -zxvf cudnn-8.0-linux-x64-v5.0-ga.tgz
chmod 777 -R cuda
mv cuda cudnnv5
tar -zxvf cudnn-7.0-linux-x64-v4.0-rc.tgz
chmod 777 -R cuda
mv cuda cudnnv4
echo "export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64:/home/user/cudnnv4/lib64:/home/user/cudnnv5/lib64:$LD_LIBRARY_PATH" >> /etc/profile
source /etc/profile
echo "Installing Matlab 2014a"
sudo mkdir /media/matlab
cd /home/matlabforlinux
mount -o loop MATHWORKS_R2014A.iso /media/matlab
cd /media/matlab
sudo ./install
sudo cp libmwservices.so /usr/local/MATLAB/R2014a/bin/glnxa64/
#1) 安装依赖项
sudo apt-get update
sudo apt-get -y install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler
sudo apt-get -y install --no-install-recommends libboost-all-dev
#2) BLAS安装
sudo apt-get -y install libatlas-base-dev
#3) 安装pycaffe接口所需要的依赖项
sudo apt-get -y install python-numpy python-scipy python-matplotlib python-sklearn python-skimage python-h5py python-protobuf python-leveldb python-networkx python-nose python-pandas python-gflags cython ipython
#4) 继续安装依赖项
sudo apt-get -y install libgflags-dev libgoogle-glog-dev liblmdb-dev
#5) 安装opencv
echo "Installing OpenCV 2.4.10"
echo "Removing any pre-installed ffmpeg and x264"
sudo apt-get -y remove ffmpeg x264 libx264-dev
echo "Installing Dependenices"
sudo apt-get -y install libopencv-dev
sudo apt-get -y install build-essential checkinstall cmake pkg-config yasm
sudo apt-get -y install libtiff4-dev libjpeg-dev libjasper-dev
sudo apt-get -y install libavcodec-dev libavformat-dev libswscale-dev libdc1394-22-dev libxine-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libv4l-dev
sudo apt-get -y install python-dev python-numpy
sudo apt-get -y install libtbb-dev
sudo apt-get -y install libqt4-dev libgtk2.0-dev
sudo apt-get -y install libfaac-dev libmp3lame-dev libopencore-amrnb-dev libopencore-amrwb-dev libtheora-dev libvorbis-dev libxvidcore-dev
sudo apt-get -y install x264 v4l-utils ffmpeg
sudo apt-get -y install libgtk2.0-dev
cd /home/user/opencv-2.4/opencv-2.4.10
mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D BUILD_NEW_PYTHON_SUPPORT=ON -D CUDA_GENERATION=Auto -D WITH_V4L=ON -D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON -D BUILD_EXAMPLES=ON -D WITH_QT=ON -D WITH_OPENGL=ON ..
make -j16
sudo make install
sudo sh -c 'echo "/usr/local/lib" > /etc/ld.so.conf.d/opencv.conf'
sudo ldconfig
echo "OpenCV 2.4.10 ready to be used"
#6) 安装caffe
echo "Installing caffe"
cd /home/caffe
rm -rf build
mkdir build
make clean #把之前编译的去掉
make all -j16
make test -j16
export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64:/home/user/cudnnv4/lib64:/home/user/cudnnv5/lib64:$LD_LIBRARY_PATH
make runtest -j16
make pycaffe -j16
make matcaffe -j16
#1. 数据预处理
sh data/mnist/get_mnist.sh
#2. 重建lmdb文件。Caffe支持多种数据格式输入网络，包括Image(.jpg, .png等)，leveldb，lmdb，HDF5等，根据自己需要选择不同输入吧。
sh examples/mnist/create_mnist.sh
sh examples/mnist/train_lenet.sh